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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 16063
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    INDEX
    Explanations

    names of people with associated titles or professions

    oai_token-act-pair · gpt-3.5-turbo

    statements introducing individuals and their professions or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LOD
    -0.75
    Side
    -0.73
    aceae
    -0.73
    addons
    -0.72
    Therefore
    -0.69
     dstg
    -0.67
    Materials
    -0.67
    Relations
    -0.66
    Decre
    -0.65
    Whereas
    -0.64
    POSITIVE LOGITS
     Editor
    0.85
     freelance
    0.77
     PhD
    0.75
     Slate
    0.73
     QC
    0.72
     pseudonym
    0.71
     Pulitzer
    0.71
     Jr
    0.71
    elaide
    0.69
     associate
    0.69
    Activations Density 0.178%

    No Known Activations